A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints

Detalhes bibliográficos
Autor(a) principal: Khorasani, Hamid [UNESP]
Data de Publicação: 2015
Outros Autores: Romero, Rubén [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.15866/iremos.v8i2.4047
http://hdl.handle.net/11449/232428
Resumo: The transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology.
id UNSP_ac8225e4db85673720f1bc30f52740e2
oai_identifier_str oai:repositorio.unesp.br:11449/232428
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraintsConstructive Heuristic AlgorithmMixed-Integer Non-Linear ProgrammingMultistage Transmission Expansion PlanningN-1 SecurityThe transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology.Universidade Estadual PaulistaDepartment at the Universidade Estadual PaulistaUniversidade Estadual PaulistaDepartment at the Universidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)Khorasani, Hamid [UNESP]Romero, Rubén [UNESP]2022-04-29T16:11:49Z2022-04-29T16:11:49Z2015-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article154-164http://dx.doi.org/10.15866/iremos.v8i2.4047International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015.2533-17011974-9821http://hdl.handle.net/11449/23242810.15866/iremos.v8i2.40472-s2.0-84938088807Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Review on Modelling and Simulationsinfo:eu-repo/semantics/openAccess2022-04-29T16:11:49Zoai:repositorio.unesp.br:11449/232428Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T16:11:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
title A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
spellingShingle A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
Khorasani, Hamid [UNESP]
Constructive Heuristic Algorithm
Mixed-Integer Non-Linear Programming
Multistage Transmission Expansion Planning
N-1 Security
title_short A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
title_full A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
title_fullStr A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
title_full_unstemmed A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
title_sort A constructive heuristic algorithm for multi-stage transmission expansion planning under N-1 security constraints
author Khorasani, Hamid [UNESP]
author_facet Khorasani, Hamid [UNESP]
Romero, Rubén [UNESP]
author_role author
author2 Romero, Rubén [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Khorasani, Hamid [UNESP]
Romero, Rubén [UNESP]
dc.subject.por.fl_str_mv Constructive Heuristic Algorithm
Mixed-Integer Non-Linear Programming
Multistage Transmission Expansion Planning
N-1 Security
topic Constructive Heuristic Algorithm
Mixed-Integer Non-Linear Programming
Multistage Transmission Expansion Planning
N-1 Security
description The transmission expansion planning (TEP) problem in modern power systems is a large-scale, mixed-integer, non-linear, and non-convex problem. The problem becomes even more complicated when the security constraints are taken into account as in some large-scale systems, finding the optimal solution is inaccessible. This paper presents a novel mathematical model to solve the security constraints of transmission system expansion planning problem via a constructive heuristic algorithm (CHA). The proposed CHA is extended to multi-stage planning. The basic idea comes from Garver’s work applied to the transportation model. Nevertheless, the proposed algorithm works with a hybrid linear model. The proposed CHA finds an acceptable solution in an iterative process, where in each step, a circuit is chosen by using a sensitivity index and is subsequently added to the system. Moreover, several simulation studies and tests were carried out on Garver, the South Brazilian system, and the North Brazilian system, to demonstrate the effectiveness of the proposed methodology.
publishDate 2015
dc.date.none.fl_str_mv 2015-04-01
2022-04-29T16:11:49Z
2022-04-29T16:11:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.15866/iremos.v8i2.4047
International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015.
2533-1701
1974-9821
http://hdl.handle.net/11449/232428
10.15866/iremos.v8i2.4047
2-s2.0-84938088807
url http://dx.doi.org/10.15866/iremos.v8i2.4047
http://hdl.handle.net/11449/232428
identifier_str_mv International Review on Modelling and Simulations, v. 8, n. 2, p. 154-164, 2015.
2533-1701
1974-9821
10.15866/iremos.v8i2.4047
2-s2.0-84938088807
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Review on Modelling and Simulations
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 154-164
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964824608702464